import numpy as np  
import pandas as pd
import random  
import math

num_samples = 10  
specifications = pd.read_csv('data.csv', usecols=[0, 1, 2, 3])  
initial_parameters = pd.read_csv('data.csv', usecols=[4, 5, 6, 7 ,8 ,9 ,10,11])  
hardness = pd.read_csv('data.csv', usecols=[12])  
def calculate_hardness(specifications, process_parameters):  
    hardness_values = []  
    for i in range(len(specifications)):  
        # 硬度计算逻辑示例：假设硬度是规格和工艺参数值的平均值
        hardness_value = np.mean(specifications.iloc[i] + process_parameters.iloc[i])
        hardness_values.append(hardness_value)
    return np.array(hardness_values)

def calculate_hardness(specifications, process_parameters):  
    # 替换随机硬度计算为真实计算模型
    # Your hardness calculation logic here
    return calculated_hardness0_array

def initialize_solution():  
    low = 500  
    high = 650
    return low + (high - low) * np.random.rand(num_samples, 8)  

def simulated_annealing():  
    current_solution = initialize_solution()  
    current_hardness = calculate_hardness(specifications, current_solution)  
    best_solution = current_solution  
    best_hardness = np.mean(current_hardness)  
    T = 1.0  
    T_min = 0.0001  
    alpha = 0.95  
      
    while T > T_min:  
        for i in range(100):  
            new_solution = current_solution + np.random.randn(num_samples, 8) * 0.1  
            new_hardness = calculate_hardness(specifications, new_solution)  
            new_average_hardness = np.mean(new_hardness)  
              
            if new_average_hardness < best_hardness or random.random() < math.exp((best_hardness - new_average_hardness) / T):  
                current_solution = new_solution  
                current_hardness = new_hardness  
                  
                if new_average_hardness < best_hardness:  
                    best_solution = new_solution  
                    best_hardness = new_average_hardness  
          
        T *= alpha  
      
    return best_solution, best_hardness  

best_solution, best_hardness = simulated_annealing()  
print("最优工艺参数:\n", best_solution)  
print("对应的平均硬度:", best_hardness)
